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CLASS: PUBLIC
SUMMARY:ABIS 2025
DESCRIPTION:ABIS is an international workshop, organized by the SIG on Adap
 tivity and User Modeling in Interactive Software Systems of the German Gese
 llschaft für Informatik. For more than 25 years, the ABIS Workshop has been
  a highly interactive forum for discussing the state of the art in personal
 ization, user modeling, and related areas. ABIS 2025’s focus will be on the
  topics of personalization and recommendation within the areas of Computer-
 Supported Cooperative Work (CSCW) (i.e., support of individuals who work or
 ganized in groups), Cross-Reality (XR) Interaction (e.g., transitions insid
 e the reality-virtuality continuum), and/or AI applications for personaliza
 tion purposes. To discuss such questions, our workshop aims to bring togeth
 er researchers and practitioners who are interested in the general personal
 ization domain, and/or in our SIG’s current focus. Our goal is to identify 
 current issues and future directions of research and foster future developm
 ent of the discipline and collaborations.\n\nWorkshop Mode and Activities\n
 \nThis year’s edition of the ABIS workshop is planned as a half-day on-site
  event in conjunction with the MuC 2025 conference in Chemnitz, Germany. Th
 e workshop will be split into two parts: The first part of the workshop wil
 l be devoted to the presentation of scientific work addressing concepts, on
 going developments, and empirical evaluations within the thematic scope. To
  engage participants with the broader scope of ABIS research, we plan to ha
 ve a keynote speech and possibly a panel discussion. The second part of the
  workshop will focus on networking and, in particular, the discussion of a 
 research agenda. We plan to take and classify notes for this interactive pa
 rt of the workshop. Next, single topics will be discussed in smaller groups
  in order to characterize important elements, find main opportunities, and 
 identify pain points for the agenda for future research, which we will put 
 together afterward and make accessible via the workshop website1, as a posi
 tion paper or opinion piece (e.g., via Communications of the ACM). We welco
 me participants both from academia and industry. The target audience of the
  workshop are, for instance, HCI practitioners and developers, as well as r
 esearchers including (PhD) students.\n\nTopics\n\nThe workshop welcomes a r
 ange of topics of interest, not necessarily concerned with this year's focu
 s on personalization in CSCW-XR and using AI for personalization purposes, 
 including but not limited to:\n\n• Personalization and Recommendation: Pers
 onalization applications exist across various domains, from e-learning to o
 nline retail, automotive domains, assistance for elderly or handicapped, or
  mobile computing scenarios. What are suitable use cases for meaningful per
 sonalization? What uniform patterns are visible across domains? • AI-fueled
  Personalization: By leveraging the large amounts of available data, AI has
  the potential to enhance existing personalization approaches across variou
 s domains. What can recent advances in AI (e.g., LLMs) bring to the table, 
 when it comes to personalization? • Moving the Needle on the Reality/Virtua
 lity Continuum: Individuals differ highly in their preferences regarding th
 e usage of virtual and augmented reality interaction. Task requirements and
  the novelty of the technologies make a successful interaction challenging.
  How can personalization be used to improve successful interactions across 
 the continuum? • Personalization for Groups: Personalized support for group
 s can help in our contemporary, inter-connected workplaces: topics include 
 adaptive ad-hoc support for meetings, suggestions of suitable collaboration
  partners, and similar approaches (for an overview, see [7]). • Adaptive Su
 pport for Learning and Teaching: Tailored learning experiences can benefit 
 knowledge acquisition and learning. However, adaptive supports should accou
 nt for various factors, including individual learning styles and collaborat
 ive environments. What are methods and tools for individual and collaborati
 ve learning support and how do they affect the users? • Serendipity, Bubble
 s, and Long Tail: Personalization is in latent danger of strictly limiting 
 content to individual preferences, effectively, preventing the chance to fi
 nd interesting items that are part of the long tail. What can be done to pr
 event resulting bubbles? • Privacy Issues: With advances in personalization
 , users’ concerns over transparency, user control, and data scrutability be
 come even more important to address. How can personalization systems provid
 e transparency and ensure ethical use of the data without overwhelming user
 s with complexity?\n\nCall for Participation\n\nWe invite participation in 
 the ABIS 2025 half-day workshop on adaptivity and user modeling, which is h
 eld on-site in conjunction with the MuC 2025 conference in Chemnitz, German
 y. The goals of this workshop are 1) strengthening the community of researc
 hers (also within the German Gesellschaft für Informatik) and the HCI secti
 on for this important and emerging area of research by fostering knowledge 
 exchange and facilitating networking, 2) providing a platform to present an
 d discuss scientific work on recent developments relevant with respect to t
 he topics of the workshop, and 3) discussing a research agenda for future w
 ork on personalization and adaptation approaches in these diverse fields.\n
 \nThe workshop will be open to everyone who is interested, but we also invi
 te non-anonymous submissions in the form of demo papers of 1-2 pages, late-
 breaking results papers of 2-4 pages, and full papers of 4-6 pages in lengt
 h (excluding references), submitted via ConfTool until June 22nd, 2025 - th
 e exact dates will be synchronised with other MuC workshops. Papers will be
  peer-reviewed by at least two reviewers (single-blind). In accordance with
  the timeline published for MuC 2025, acceptance notifications will be sent
  out in early July, 2025. Camera-ready versions will be due July 18th, 2025
 , at the latest. Accepted workshop papers will be published in the GI Digit
 al Library. Authors of accepted demo, late-breaking results, and full paper
 s will be invited to orally present their work at the workshop, including d
 iscussion with the audience.\n\nAt least one author of each accepted submis
 sion must attend the workshop and must register for at least one day of the
  conference.\n\nProgram\n\nWe are delighted to welcome you in Room Weinhold
 bau (next to main building) W044.\n\nHere is an overview of the ABIS Worksh
 op program (tentative):\n\n 	14:00-14:30: The Limitations of the Quantified
  Self for Persuasive Self-Optimization Apps (Eelco Herder, Tobias Bosveld) 
 	14:30-15:00: Personalised and Contextualised Image Captioning: Human-in-th
 e-Loop Design and Evaluation (Aliki Anagnostopoulou, Sara-Jane Bittner, Lav
 anya Govindaraju, Hasan MD Tusfiqur Alam, Daniel Sonntag) 	15:00-15:15: Per
 spectives on Contexts and Adaptations for Cross-Reality (Sarah Claudia Krin
 gs, Enes Yigitbas, Stefan Sauer) 	15:15-15:30: Towards a Systematic Testing
  Framework for Virtual Reality Applications: Challenges and Opportunities (
 Manuel Geil, Andreas Wübbeke) 	15:30-16:00: Coffee Break 	16:00-16:15: Pres
 entation with Obstacles: An Adapting VR Training Application to Overcome Di
 stractions During Presentations (Sebastian Krois, Jan-Luca Skrobol, Kevin S
 charke) 	16:15-16:30: Privacy Customization in a Social Sharing Tool (Julia
 n Fietkau, Laura Stojko) 	16:30-17:30: Interactive Discussion, Wrap-up & Ou
 tlook \n\nOrganizers\n\nThe 2025 edition of the workshop will be organized 
 by the following members of the SIG Adaptivität und Benutzermodellierung in
  interaktiven Softwaresystemen (ABIS):\n\n• Thomas Neumayr recently finishe
 d his PhD (topic: hybrid collaboration) and is an assistant professor with 
 the University of Applied Sciences Upper Austria. One of his main research 
 interests is the intersection between personalization, HCI, and CSCW. • Ene
 s Yigitbas is competence area manager for "Human-Centered Digitality" at So
 ftware Innovation Lab of Paderborn University, Germany. His main research i
 nterests are at the intersection of HCI, Software Engineering, and Machine 
 Learning, especially focusing on the design, development, and evaluation of
  XR-based learning and assistance systems. • Mirjam Augstein is a professor
  for Personalized and Collaborative Systems at the University of Applied Sc
 iences Upper Austria. Her main research interests are related to personaliz
 ed and collaborative interaction, including adaptive support for individual
 s and teams in interactive environments. • Eelco Herder is an associate pro
 fessor in the Interaction Group at Utrecht University, the Netherlands. His
  research focuses on how users and current (commercial) recommender systems
  respond to one another, and which mechanisms help to encourage users to ac
 tively choose what they want instead of passively following suggestions. • 
 Laura Stojko is a PhD student and lecturer in HCI at the University of the 
 Bundeswehr Munich in Germany. Her research focuses on personalization, and 
 CSCW within the context of large interactive semi-public displays. • Jannis
  Strecker-Bischoff is a PhD student in Computer Science at the University o
 f St. Gallen in Switzerland. He studies how ubiquitous personalization syst
 ems can make people’s interactions with their environment more efficient, s
 afer and more inclusive, and how these systems can be built in a responsibl
 e and societally beneficial way. • Julia Seitz is a post-doctoral researche
 r at Karlsruhe Institute of Technology (KIT), Germany. Her research focuses
  on how biosignals can be used to detect negative user states in video meet
 ings and how adaptive support interventions can be designed based on these 
 biosignals.
LOCATION:Mensch & Computer 2025
DTSTAMP:20250825T114727Z
DTSTART:20250831T120000Z
DTEND:20250831T153000Z
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